Neural network decoder for quantum stabilizer codes has been studied in [1]}, [2]}, [3]}, [4]} (more precisely in [1]} hidden Boltzmann machines are used instead of neural networks).
Our work will use a similar scheme as [1]}, [4]}, where the neural networks predict which qubits have undergone an error.
In [2]}, [3]}, the neural networks output 1 or 2 bits which will correct the final measurement of the logical operators.
The main difference of our work is that our machine learning decoder is naturally scalable through the use of convolutional neural networks.
